ECE 5414

Last Updated

  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:48AM EDT
Global toggle of class tabs

Links for textbooks and Cornell Store open in new tab.

ECE 5414
Applied Machine Learning

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. Gain working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, and dimensionality reduction.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 2800 or the equivalent plus basic familiarity with Matlab or Python, or permission of the instructor.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5785, ORIE 5750

  • 3 Credits GradeNoAud

  • 19519 ECE 5414   LEC 030

    • TR
    • Aug 26 - Dec 9, 2024

    • Kuleshov, V

  • Enrollment limited to: Cornell Tech students.

    Department Consent Required (Add)

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 5785, ORIE 5750

  • 3 Credits GradeNoAud

  • 19520 ECE 5414   LEC 031

  •  
    • MW
    • Aug 26 - Dec 9, 2024

    • Gan, K

  • Enrollment limited to: Cornell Tech students.